ASSESSING HISTORICAL RELIABILITY OF THE AGENT-BASED MODEL OF THE GLOBAL ENERGY SYSTEM
ASSESSING HISTORICAL RELIABILITY OF THE AGENT-BASED MODEL OF THE GLOBAL ENERGY SYSTEM
摘要
This study looks at the historical reliability of the agent-based model of the global energy system. We present a mathematical framework for the agent-based model calibration and sensitivity analysis based on historical observations. Simulation consistency with the historical record is measured as a distance between two vectors of data points and inference on parameter values is done from the probability distribution of this stochastic estimate. Proposed methodology is applied to the model of the global energy system. Some model properties and limitations followed from calibration results are discussed.
This study looks at the historical reliability of the agent-based model of the global energy system. We present a mathematical framework for the agent-based model calibration and sensitivity analysis based on historical observations. Simulation consistency with the historical record is measured as a distance between two vectors of data points and inference on parameter values is done from the probability distribution of this stochastic estimate. Proposed methodology is applied to the model of the global energy system. Some model properties and limitations followed from calibration results are discussed.
参考文献36
-
1Antonini, G., Bierlaire, M. & Weber M. (2006). Discrete choice models of pedestrian walking behavior. Transportation Research, Part B: Methodological, 40 (8): 667-687.
-
2Axelrod, R. (1997). The dissemination of culture a mode/with local convergence and global polarization. Journal of Conflict Resolution, 41 (2): 203-226.
-
3Ayres, R. & Kneese, A. (1969). Production, consumption, and externalities. TheAmerican Economic Review, 59 (3): 282-297.
-
4Balci, O. (1994). Validation, verification and testing techniques throughtout the life cycle of a simulation study. In: Tew, J., Manivannan, S., Sadowski, D. & Seila, A. (eds.), Winter Simulation Conference: 215-220, Orlando, December 11-14, 1994, IEEE, Piscatway, NJ.
-
5Barreteau, O. (2003). Our companion modelling approach. Joumal of Artifical Societies and Social Simulation, 6 (1).Available via http://j asss.soc.surrey.ac.uk/6/2/1.html. Cited October 29, 2015.
-
6Beyrer, C., Baral, S., van Griensven, F., Goodreau, S., Chariyalertsak, S., Wirtz, A. & Brookmeyer, R. (2012). Global epidemiology of HIV infection in men who have sex with men. Lancet, 380 (9839): 367-377.
-
7Bonabeau, E. (2002). Adaptive agents, intelligence, and emergent human organization: capturing complexity through agent-based modeling: methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99: 7280-7287.
-
8Bowles, S., Choi, J. & Hopfensitz, A. (2003). The co-evolution of individual behaviors and social institutions. Journal of Theoretical Biology, 223 (2): 135-147.
-
9Bunn, D. & Oliveira, F. (2001). Agent-based simulation - An application to the new electricity trading arrangements of England and Wales. IEEE Transactions on Evolutionary Computation, 5 (5): 493-503.
-
10Choi, J. & Bowles, S. (2007). The coevolution of parochial altruism and war. Science, 318 (5850): 636-640.
-
1樊立萍,于海斌,袁德成.污水处理过程仪表技术的研究现状[J].自动化仪表,2005,26(1):1-4. 被引量:2
-
2焦华勇,于树坤,王鑫成.CAE软件在工程应用中的一些关键问题[J].经营管理者,2016(22).
-
3陈勇,罗平.密码体制的一种统一框架与快速高效公钥系统[J].计算机应用与软件,2005,22(4):10-11.
-
4罗平,孙永东,刘唯义.两种快速高效公钥算法[J].大庆石油学院学报,2002,26(4):59-61. 被引量:3
-
5姜奇平.激荡的十年——中国商业互联网十年发展报告[J].互联网周刊,2008(20):28-38.
-
6吴晓红,蔡惠京.关于前馈神经网络的激活函数与认知能力[J].系统工程与电子技术,2000,22(5):69-72. 被引量:1
-
7礼武战奇谭——另类的美少女梦工厂[J].家庭电脑世界,2004(05X):44-44.
-
8刘期建,郑涛,徐海文,何元清.自适应在线模型校准的RSS实时定位算法[J].计算机测量与控制,2015,23(6):2056-2060.
-
9高维钫.计算机网络问题的哲学断想——关于历史观的点滴思考[J].北京邮电大学学报(社会科学版),2003,5(4):12-14.
-
10王新春,王保保.基于小波神经网络的人脸识别[J].微机发展,2003,13(6):27-28. 被引量:3